AIGP Qs Flashcards
(40 cards)
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant Agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network’s existing data and de-identified data that is licensed from a large US clinical research partner.
The most significant risk from combining the healthcare network’s existing data with the clinical research partner data is?
A Privacy risk.
B Security risk.
C Operational risk.
D Reputational risk.
Correct Answer: A
A company initially intended to use a large data set containing personal information to train an Al model. After consideration, the company determined that it can derive enough value from the data set without any personal information and permanently obfuscated all personal data elements before training the model.
This is an example of applying which privacy-enhancing technique (PET)?
A Anonymization.
B Pseudonymization.
C Differential privacy.
D Federated learning.
Correct Answer: A
What is the primary purpose of conducting ethical red-teaming on an Al system?
A To improve the model’s accuracy.
B To simulate model risk scenarios.
C To identify security vulnerabilities.
D To ensure compliance with applicable law.
Correct Answer: B
Training data is best defined as a subset of data that is used to?
A Enable a model to detect and learn patterns.
B Fine-tune a model to improve accuracy and prevent overfitting.
C Detect the initial sources of biases to mitigate prior to deployment.
D Resemble the structure and statistical properties of production data.
Correct Answer: A
To maintain fairness in a deployed system, it is most important to?
A Protect against loss of personal data in the model.
B Monitor for data drift that may affect performance and accuracy.
C Detect anomalies outside established metrics that require new training data.
D Optimize computational resources and data to ensure efficiency and scalability.
Correct Answer: B
Machine learning is best described as a type of algorithm by which?
A Systems can mimic human intelligence with the goal of replacing humans.
B Systems can automatically improve from experience through predictive patterns.
C Statistical inferences are drawn from a sample with the goal of predicting human intelligence.
D Previously unknown properties are discovered in data and used to predict and make improvements in the data
Correct Answer: B
You asked a generative Al tool to recommend new restaurants to explore in Boston, Massachusetts that have a specialty Italian dish made in a traditional fashion without spinach and wine. The generative Al tool recommended five restaurants for you to visit. After looking up the restaurants, you discovered one restaurant did not exist and two others did not have the dish. This information provided by the generative Al tool is an example of what is commonly called?
A Prompt injection
B Model collapse
C Hallucination
D Overfitting
Correct answer: C
Each of the following actors are typically engaged in the Al development life cycle EXCEPT?
A Data architects
B Government regulators
C Socio-cultural and technical experts
D Legal and privacy governance experts
Correct answer: B
A company is working to develop a self-driving car that can independently decide the appropriate route to take the driver after the driver provides an address. If they want to make this self-driving car “strong” Al, as opposed to “weak,” the engineers would also need to ensure?
A That the Al has full human cognitive abilities that can independently decide where to take the driver.
B That they have obtained appropriate intellectual property (IP) licenses to use data for training the Al.
C That the Al has strong cybersecurity to prevent malicious actors from taking control of the car.
D That the Al can differentiate among ethnic backgrounds of pedestrians.
Correct answer: A
Which of the following is NOT a common type of machine learning?
A Deep learning
B Cognitive learning
C Unsupervised learning
D Reinforcement learning
Correct answer: B
Machine learning is best described as a type of algorithm by which?
A Systems can mimic human intelligence with the goal of replacing humans.
B Systems can automatically improve from experience through predictive patterns.
C Statistical inferences are drawn from a sample with the goal of predicting human intelligence.
D Previously unknown properties are discovered in data and used to predict and make improvements in the data.
Correct answer: B
CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data–including applications, policies, and claims–and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed to a human underwriter for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women’s loan applications due primarily to women historically receiving lower salaries than men.
The best approach to enable a customer who wants information on the Al model’s parameters for underwriting purposes is to provide?
A A transparency notice
B An opt-out mechanism
C Detailed terms of service
D Customer service support
Correct answer: A
Which of the following is the most important reason to train the underwriters on the model prior to deployment?
A To provide a reminder of a right appeal.
B To solicit on-going feedback on model performance.
C To apply their own judgment to the initial assessment.
D To ensure they provide transparency applicants on the model.
Correct answer: C
During the first month when ABC monitors the model for bias, it is most important to?
A Continue disparity testing.
B Analyze the quality of the training and testing data.
C Compare the results to human decisions prior to deployment.
D Seek approval from management for any changes to the model.
Correct answer: A
Each of the following steps would support fairness testing by the compliance team during the first month in production EXCEPT?
A Validating a similar level of decision-making across different demographic groups.
B Providing the loan applicants with information about the model capabilities and limitations.
C Identifying if additional training data should be collected for specific demographic groups.
D Using tools to help understand factors that may account for differences in decision-making.
Correct answer: B
What is the best strategy to mitigate the bias uncovered in the loan applications?
A Retrain the model with data that reflects demographic parity.
B Procure a third-party statistical bias assessment tool.
C Document all instances of bias in the data set.
D Delete all gender-based data in the data set.
Correct answer: A
All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT?
A Gradient descent, which initially sets weights arbitrary values, and then at each step changes them.
B Momentum, which improves the convergence speed and stability of neural network training.
C Autoregression, which analyzes and makes predictions about time-series data.
D Backpropagation, which starts from the last layer working backwards.
Correct answer: C
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?
A GPUs run many tasks concurrently, resulting in faster processing.
B GPUs can access memory quickly, resulting in lower latency than CPUs.
C GPUs can run every task on a computer, making them more robust than CPUs.
D The number of transistors on GPUs doubles every two years, making the chips smaller and lighter.
Correct answer: A
Which of the following best defines an “Al model”?
A A system that applies defined rules to execute tasks.
B A system of controls that is used to govern an Al algorithm.
C A corpus of data which an Al algorithm analyzes to make predictions.
D A program that has been trained on a set of data to find patterns within the data.
Correct answer: D
CASE STUDY
Please use the following answer the next question:
Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments. In particular, GVC has learned that the teachers they employ used open source large language models (“LLM”) to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art. GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.
Which of the following risks should be of the highest concern to individual teachers using generative Al to ensure students learn the course material?
A Financial cost
B Model accuracy
C Technical complexity
D Copyright infringement
Correct answer: B
What is the best reason for GVC to offer students the choice to utilize generative Al in limited, defined circumstances?
A To enable students to learn how to manage their time.
B To enable students to learn about performing research.
C To enable students to learn about practical applications of Al.
D To enable students to learn how to use Al as a supportive educational tool.
Correct answer: D
All of the following may be copyright risks from teachers using generative Al to create course content EXCEPT?
A Content created by an LLM may be protectable under U.S. intellectual property law.
B Generative Al is generally trained using intellectual property owned by third parties.
C Students must expressly consent to this use of generative Al.
D Generative Al often creates content without attribution.
Correct answer: C
Random forest algorithms are in what type of machine learning model?
A Symbolic
B Generative
C Discriminative
D Natural language processing
Correct answer: C
What is the 1956 Dartmouth summer research project on Al best known as?
A A meeting focused on the impacts of the launch of the first mass-produced computer.
B A research project on the impacts of technology on society.
C A research project to create a test for machine intelligence.
D A meeting focused on the founding of the Al field.
Correct answer: D
